Publication

Abstract : Climate change is one of the complex issues and the most significant global challenges that we are facing today. In this fast-paced climate change scenario, we are responsible for the adaptation and mitigation of these climatic events. As the frequency of these events increases significantly, technological innovations are widely accepted for addressing and finding feasible solutions with emerging tools like Artificial Intelligence (AI). Estimating the climate change impacts on several sectors of the environment, society, and economy is crucial for identifying the consequences for disaster preparedness, preparation of adaptation and mitigation strategies, and policy making. In recent years, there has been a major shift in the way we look at the technology side, and now, AI models outweigh traditional climate models in several ways concerning vast and complex data handling, live simulations, predictive accuracy, and computational efficiency. As climatic events escalate globally, in today’s world, the demand for more accurate climate modeling and predictions is highly welcome. The more accurate the predictions, the more we can save humanity, the ecosystem, livelihood, etc., by adopting strategies for climate change mitigation and adaptation. Here we discuss various AI models, the application of AI-driven models in climate change events, their implementation in modeling and predicting climate events, their contribution to mitigation and adaptive measures, and the limitations of AI-driven models. In the future, advanced AI models may revolutionize climatic weather prediction, leaving the traditional models behind as it has to pave the way for easy and feasible predictions, as the faster the climate shifts, the tougher the difficulties that we encounter.